A Matter of Reevaluation: Incentivizing Users to Contribute Reviews in Online Platforms.

Decis Support Syst

Institute of Automation, Chinese Academy of Sciences, Beijing 100864, China.

Published: January 2020

AI Article Synopsis

  • Content sharing platforms rely on voluntary contributions from reviewers, and many use incentive mechanisms like reputation systems or financial rewards to encourage more participation.
  • While past research has primarily focused on permanent reputation rewards or unconditional financial incentives, this study addresses the lack of understanding regarding how reevaluation-based incentives impact reviewer behavior.
  • By analyzing data from Yelp's Elite Squad, the study finds that in the short term, reevaluated reviewers increase contributions, give more moderate ratings, and enhance review readability, while in the long term, they continue to improve review quality, suggesting implications for business models dependent on user feedback.

Article Abstract

Content sharing platforms such as product review websites largely depend on reviewers' voluntary contributions. In order to motivate reviewers to contribute more, many platforms established incentive mechanisms, either reputation-based or financial. Yet most of the existing research has focused on reputations that are everlasting, such as badges and virtual points, or financial rewards where no evaluation exists about the users' contributed content, such as rebates. There is still a significant gap in our understanding of how incentives with reevaluation mechanism actually influence reviewers' behaviors such as their contribution levels, the opinion they express, and how they express. In this paper, we fill this gap using data collected from Yelp Elite Squad where reviewers with good reviewing history are awarded into the elite group and most importantly reevaluated each year. We draw from the accountability theory and conduct a difference-in-differences analysis to empirically study the effect of incentives with reevaluation mechanism on reviewers' behaviors in both short term and long term. The results show that in short term, reviewers significantly increase their contribution levels, become more conservative with lower percentage of extreme ratings, and also increase the readability of their reviews. In long term, they continue improving the quality of reviews though their numerical rating behaviors stabilize. Our research has significant implications for business models that rely on user contributions.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952071PMC
http://dx.doi.org/10.1016/j.dss.2019.113158DOI Listing

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